Abstract
In the paper, the method for determining the diagnostic structures for effective fault detection within military IoT networks is proposed. The method is based on partitioning IoT network among disjoint clusters and applying comparison approach for diagnosis of misbehaving nodes within network clusters. Common communication and diagnostic structures are determined on the basis of the nodes attainability characteristics and subsequent generation of subset of dendrites. The procedure for choosing the most effective diagnostic structures is proposed in the paper. In the procedure for selecting the diagnostic structure the following measures are used: the global dendrite attainability, the number of elementary comparison tests and the number of stages for performing all required tests. Also, influence of diagnostic tests on the values of performance metrics for some real-time services is investigated. The usefulness of the method has been verified through simulation experiments prepared and performed in Riverbed Modeler environment.
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Chudzikiewicz, J., Malinowski, T., Zieliński, Z., Furtak, J. (2017). Method for Determining Effective Diagnostic Structures Within the Military IoT Networks. In: Gaj, P., Kwiecień, A., Sawicki, M. (eds) Computer Networks. CN 2017. Communications in Computer and Information Science, vol 718. Springer, Cham. https://doi.org/10.1007/978-3-319-59767-6_3
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